zenigame-fx-codex-vscode

To run safe OpenAI codex calls inside VSCode, execute a codex command from the repository root using the bundled wrapper. This enforces ephemeral sessions and sandboxed execution to protect credentials and environment during model reasoning.

A standardized codex execution protocol defines a consistent interface for model calls, enforcing ephemeral sessions and sandboxed runs. It ensures predictable OpenAI model reasoning results while keeping interactions auditable and secure across VSCode integrations.

Yes, you need to configure reasoning levels for OpenAI sandboxed model calls to achieve predictable results. The protocol documents specific model options and reasoning level settings required to standardize and control the model's reasoning behavior safely.

Yes, you can use the codex wrapper to audit OpenAI prompts in VSCode. The protocol provides a defined interface that ensures consistent, auditable model executions by documenting required options and enforcing sandboxed runs for every interaction.

The limitation of ephemeral sessions for codex model calls is that execution state is not persisted between runs. This sandboxed approach protects credentials and the environment but requires re-establishing session context for each new model invocation.